Chap 1- Stats intro Flashcards

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1
Q

Statistics

A
  1. ) mathematical procedure –> organizing, summarizing and interpreting information
  2. ) numerical value that describes sample
    - -> derived from individuals in sample
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2
Q

Population

A

set of all individuals of interest in a study

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3
Q

Sample

A

set of individuals selected from pop

-intended to represent the pop in research study

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4
Q

Variable

A

characteristic or condition that varies

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5
Q

Data

A

(pural) measurement or observation

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6
Q

Data set

A

collection of measurement or observations

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7
Q

Datum

A

(singular) single measurement or observation –> score or raw score

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8
Q

Parameter

A
  • value/numerical value that describes population

- from measurements of individuals in the population

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9
Q

Descriptive statistic

A

statistical procedure –> summarize, organize and simplify data

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10
Q

Inferential statistics

A

-technique –> study samples and make generalization about the pop from which they are selected

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11
Q

Sampling error

A

naturally occurring

- discrepancy/error between populations parameter and samples statistics

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12
Q

Correlation method

A

Two dif. Variables are observed to determine whether there is a relationship between

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13
Q

experimental method

A

one variable is manipulated while the variable is observed and measured.

  • establish cause and effect relationship between the two variables.
  • experiment attempts to control all of the other variables to prevent them from influencing the results
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14
Q

percentile

A

in Ordered series

- it’s the POINT @ or BELOW, where half the scores lie

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15
Q

independent variable

A
  • variables manipulated the experimenter, independently of all other variables
  • hypothesized to be causal
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16
Q

subjective variable

A
  • Intrinsic characteristic research subject (height, IQ, ect)
  • researcher is UNABLE to manipulate
  • hypothesis to be causal
17
Q

dependent variable

A

behavioral variable measured to determine :
effect of independent variable
possible effect of the subject variable

18
Q

control condition

A
  • DO NOT receive experimental treatment
  • receive no treatment or a placebo treatment
  • provides a baseline for comparison with the experimental condition
19
Q

experimental condition

A

to receive the experimental treatment

20
Q

quasi independent variable

A

in a non experimental study

the “independent variable” that is used to create the different groups of scores

21
Q

constructs

A

internal attributions are characteristics

-Cannot be directly observed but are useful for describing and explaining Behavior

22
Q

operational definition

A

identifies a measurement procedure for a set of operations

  • for measuring an external behavior and uses the resulting measurements as a definition and hypothetical construct
    1) describe a set of operations for measuring a construct
    2) defines the construction terms of the resulting measurements
23
Q

discrete variable

A

consists of separate, indivisible categories.

-no values can exist between two neighboring categories

24
Q

continuous variable

A

there are an infinite number of possible values that fall between any two observed values
-a continuous variable is divisible into a infinite number of fractional parts.

25
Q

real limits

A

boundaries of intervals for scores that are represented on a continuous number line
- real limit separating two adjacent scores is located exactly halfway between the scores
A) upper real limit= at the top of the interval
B) lower real limit= at the bottom of the interval

26
Q

nominal scale

A

consists of a set of categories that have different names
- measurements on a nominal scale label and categorize observations
- measurements on a normal nominal scale DO NOT make any quantitative distinctions between observations
(use bar graphs)

27
Q

ordinal scale

A

a set of categories that are organized in an ordered sequence
- measurements on an ordinal scale rank observations in terms of size or magnitude
(use bar graphs)

28
Q

interval scale

A

order categories that are all intervals of exactly the same size
- equal differences between numbers on scale reflect equal differences in magnitude
- 0 on the interval scale is arbitrary and does not indicate a zero amount of the variable being measured
(use histogram graphs)

29
Q

a ratio scale

A

interval scale with the additional features of an absolute zero point
- ratios of numbers to reflect ratios magnitude
(use histogram graphs)

30
Q

Box and Whiskers plot

A
  • skewed : right = positive, left= negative
    a. ) whiskers differ in length
    b. ) (median minus the first quartile does not equal the 3rd quartile minus the median
    c. ) same thing for the minium score and max scores interactions with the median
31
Q

deviation score

A
  • number: the actual distance form the ,mean in unites measured
  • sign: tells us the direction from the mean
  • -> problem = unit sign fucks with statistics therefore…
    a. ) use ‘average deviation’ = mean of |dev. score| ( doesn’t reflect population
    b) avg of squared dev. –> variance